- Drove the MLOps transformation at Sorcero by analyzing the pain points for the AI team, and collaborating with them to design and implement ways to organize their work and streamline their path to production on GCP through experiment tracking, packaging, and deployment. Identified a key architectural flaw in the company’s use of Dataflow and steered us away from expending significant resources in a problematic solution. Pivoted to a GCP cloud-native architecture featuing Google Cloud Run, Google Cloud Storage, and Dataproc for scalable execution of batch and real time workloads.- Managed a cross-functional team in the development, deployment, and operation of two separate ML-based pharmacovigilance prototype products to support commercial sales efforts. Ensured a flawless customer experience in the first prototype which was delivered in one week. Additional weekly deliveries explored go to market alternatives with the customer. These efforts successfully converted this customer from POC to pilot.- Created a python dependency management scheme to allow sharing internal and external packages in a consistent and reliable manner by properly publishing semantic versioned python packages to Google Artifact Registry. This directly enabled reproducibility, a key MLOps initiative.- Established an incident response procedure to ensure timely and organized response to production outages and incidents. After a few incidents with thorough retrospectives, production incidents went from being frequent occurrences to exceptionally rare events.- Operationalized AI capabilities prototyped by the research team. Developed real-time REST interfaces optimized for response time, and batch-oriented data pipelines optimized for massive scale and operational expense using Google Dataproc (Spark).

- Led the API and System Orchestration team to architect a refactor to our backend systems and interface to support a novel ML-based solution. Continually set the product up for scale and extensibility as we moved from prototyping to productionizing. Produced detailed API documentation that both our customers and our own team relied on.- Collaborated with backend services teams to develop consistent internal interfaces and orchestrate complex workflows with numerous independent stages, artifacts, and operational challenges. Ensured MLOps best practices throughout the pipeline.- Implemented cloud computing resources on AWS and other third party vendors, such as Auth0, to optimize for cost at scale, enhance monitoring and alerting, and improve real-world runtime for users. Championed infrastructure-as-code as standard practice.- Spearheaded initiatives around improving developer lifecycles and project organization to enhance efficiency and reproducability of ML deliverables.- Designed and implemented a unit- and integration- test and linting framework to be shared by all teams in the engineering department. Worked with teams to implement the tox and pytest based framework into their components, and educated team members on how to utilize the framework. This system was integrated into Concourse CI and GitHub. The framework fostered knowledge sharing and cross-team efforts.

- Experimented with and prototyped cutting edge low-shot machine learning algorithms for extracting data from documents alongside a high powered data science team. - Collaborated on evaluation efforts for the new algorithms and techniques, relying heavily on jupyter notebooks and rapid iteration to experiment with the core ideas and develop a system that met accuracy, cost, and runtime goals.- Architected, built, and deployed a RESTful API and a supporting online, dynamic machine learning data pipeline to productize the cutting edge algorithms we developed and allow customers to begin to interact with our ML systems.- Created and continually tuned, evaluated and improved the machine learning algorithms, ensembles, and systems as we gathered customer experiences and honed the product-market fit.- Assisted team members in understanding and harnessing the power of ML as applied to the software engineering process and delivering on customer objectives.

- Worked with product team to gather requirements and design a user experience to allow interactive, browser-based access to our bill processing API.- Built a lightweight, stateful single page web app using jQuery to rapidly meet requirements and get the product to market.- Added metric gathering to the tool and synthesized customer feedback and metrics to optimize the user flow and extend UI capabilities to meet customer needs.- Continually supported and expanded the UI as our backend toolset expanded.

- Developed a QA test plan for our API and UI product offerings alongside senior QA engineers. Maintained and expanded that plan against continual feature improvements.- Assisted in the design, construction, and deployment of a selenium-based system test framework on Jenkins CI for automating our UI acceptance and regression tests.- Spearheaded a research effort into available test tooling, and proposed a project to migrate to RobotFramework. Led the migration to the new tooling. Our ability to write new test cases and quickly fix broken tests was massively improved. The QA test process was better democratized by this change, allowing non-QA developers to read and understand the tests without needing a QA engineer to assist them in reading the results or replicating the issue

- Ran the business day-to-day, including lead generation and sales.- Collaborated with clients to design and implement bespoke ecommerce and marketing websites on a variety of platforms like BigCommerce, Weebly, and Wordpress.- Secured and managed all freelance talent necessary to produce high quality websites.- Managed ongoing testing and site maintence for clients who chose hosting through Fildred Custom Web Design.

- Initially, served as the technical liaison between The Pohly Company and a web development firm during the construction of a brand new marketing website. Ensured the site developers were delivering what The Pohly Company wanted while understanding and approving the technical approaches being used for quality and maintainability. - Once the site was launched, was responsible for all day-to-day site maintenance, content uploads, site repairs and upgrades.- Analyzed keyword engagement and traffic data to plan targeted SEO linking campaigns.- Engaged with hundreds of sites to exchange links and publicity.- Improved search engine rankings on numerous keywords on a weekly basis.- Prepared monthly reports to summarize all changes, trends, and progress.

- Served as a full-time contract SEO consultant with a focus on increasing traffic to the StepByStepMarketing blog and conversions to the paid webinars.- Analyzed keyword engagement and traffic data to plan targeted SEO linking campaigns.- Engaged with hundreds of sites to exchange links and publicity – including leaving comments on sites and articles and managing direct contact through email or phone with site owners and administrators.- Improved search engine rankings on numerous keywords on a weekly basis according to a planned schedule.- Prepared monthly reports to summarize all changes, trends, and progress.

- Interned at The Pohly Company for three consecutive summers (June to September). - Initially worked with the editorial team on producing content, but quickly transitioned almost exclusively to making contributions and improvements to the company's various web sites and blogs. Heavy focus on WordPress.- Researched and produced short articles for various print publications.- Researched and produced SEO-focused articles for small-business advice site Fuel.com.- Responsible for daily content preparation (Final proof, HTML, CSS) and upload to the company site.- Implemented all in-line advertising on a day-to-day basis.- Created and maintained all intra-site links.- Assisted in comment mediation and response.